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Relationship between exports, imports, and economic growth in France: evidence from cointegration analysis and Granger causality with using geostatistical models

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  • Amiri, Arshia
  • Gerdtham, Ulf-G

Abstract

This paper introduces a new way of investigating linear and nonlinear Granger causality between exports, imports and economic growth in France over the period 1961-2006 with using geostatistical models (kiriging and inverse distance weighting). Geostatistical methods are the ordinary methods for forecasting the locations and making map in water engineerig, environment, environmental pollution, mining, ecology, geology and geography. Although, this is the first time which geostatistics knowledge is used for economic analyzes. In classical econometrics there do not exist any estimator which have the capability to find the best functional form in the estimation. Geostatistical models investigate simultaneous linear and various nonlinear types of causality test, which cause to decrease the effects of choosing functional form in autoregressive model. This approach imitates the Granger definition and structure but improve it to have better ability to investigate nonlinear causality. Results of both VEC and Improved-VEC (with geostatistical methods) are similar and show existance of long run unidirectional causality from exports and imports to economic growth. However the F-statistic of improved-VEC is larger than VEC indicating that there are some exponential and spherical functions in the VEC structure instead of the linear form.

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  • Amiri, Arshia & Gerdtham, Ulf-G, 2011. "Relationship between exports, imports, and economic growth in France: evidence from cointegration analysis and Granger causality with using geostatistical models," MPRA Paper 34190, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:34190
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    2. Madaleno, Mara & Ahmed, Zahoor & Doğan, Buhari & Javeed, Saba & Vasa, László, 2023. "The aptness of import-led growth hypothesis for sustainable development in South Asia: Do energy utilization and natural resources matter?," Resources Policy, Elsevier, vol. 86(PB).
    3. Bakari, Sayef & Saaidia, Fatma, 2017. "Assessment of Commerce Potency on Economic Growth in Italy: Empirical Analysis," MPRA Paper 76480, University Library of Munich, Germany.
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    5. Amiri, Arshia & Zibaei, Mansour, 2012. "Granger causality between energy use and economic growth in France with using geostatistical models," MPRA Paper 36357, University Library of Munich, Germany.
    6. Olufemi Adewale Aluko Adefemi A. Obalade, 2020. "Import-economic growth nexus in selected African countries: An application of the Toda-Yamamoto Granger non-causality test," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 23(2), pages 117-128, November.
    7. Ritu Rani & Naresh Kumar, 2018. "Is There an Export- or Import-led Growth in BRICS Countries? An Empirical Investigation," Jindal Journal of Business Research, , vol. 7(1), pages 13-23, June.
    8. Güngör Turan & Bernard Karamanaj, 2014. "An Empirical Study on Import, Export and Economic Growth in Albania," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 3, June.

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    More about this item

    Keywords

    Granger causality; Exports; Imports; Economic growth; Geostatistical model; Kiriging; Inverse distance weighting; Vector auto-regression; France;
    All these keywords.

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F1 - International Economics - - Trade
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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